| Título |
fMRI activated-voxel detection based on ICA decomposition and wavelet analysis
|
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
XII Reunión de Otoño de Potencia, Electrónica y Computación, ROPEC'2010 INTERNACIONAL
|
| Resumen |
Functional magnetic resonance imaging (fMRI) is a technique for investigating activity in the brain in response to some applied stimulus during a mental process. In this paper, detection of activated voxels in a two-class block-design fMRI experiment is described. A methodology based on blind source separation using Independent Component Analysis (ICA), applied on wavelet decomposition of voxel time signals is shown to provide an adequate and robust data separation. Results obtained from simulated as well as experimental fMRI data obtained from
the public repository of the fMRI Data Center, are presented |
| Observaciones |
Artículo aceptado por el comité revisor de la ROPEC 2010 para ser presentado como ponencia oral |
| Lugar |
Manzanillo, Colima |
| País |
Mexico |
| No. de páginas |
86-90 |
| Vol. / Cap. |
|
| Inicio |
2010-11-10 |
| Fin |
2010-11-12 |
| ISBN/ISSN |
978-607-95476-1-5 |
